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Text-to-Video Retrieval on MSR-VTT (test)

990R@1MIL-NCE (S3D)
6.784262.042517.3772.558Dec 13, 2019Jan 12, 2021Feb 13, 2022Mar 16, 2023Apr 16, 2024May 17, 2025Jun 18, 2026

Evaluation results

MethodLinks
MIL-NCE (S3D)Labeled dataset used=None, Backbone=S3D2019.129902,4003,240—29.5——————
MIL-NCE (I3D)Labeled dataset used=None, Backbone=I3D2019.129402,2203,000—35——————
Miech et al.Labeled dataset used=ImNet + K4002019.127502,1202,960—38——————
MemVerse2025.1290.495.698.1————————
ExCaeBackbone=ViT-G/142025.1267.792.796.2————————
VASTBackbone=ViT-G/142025.1263.984.389.6————————
UMT-LBackbone=ViT-L/142025.1258.88187.1————————
CLIP-ViPBackbone=CLIP-ViT-B/16, Post-processing=DSL2022.0957.780.588.2——1—————
CLIP-VIPBackbone=ViT-B/162025.1257.780.588.2————————
AGCCompression budget=322026.0256.9———————71.5102.1—
CLIP-ViPBackbone=CLIP-ViT-B/32, Post-processing=DSL2022.0955.97786.8——1—————
InternVideo2_{s2}-6BInput Frame Number=8, zero-shot=true2024.0355.978.385.1————————
InternVideo2_s2-6Bzero-shot=true2026.0655.978.385.1————————
BaselineCompression budget=None2026.0255.7———————71.9100—
InternVideoBackbone=ViT-H/142025.1255.279.687.5————————
InternVideo2_{s2}-6BInput Frame Number=4, zero-shot=true2024.0354.577.583.7————————
CLIP-ViPBackbone=CLIP-ViT-B/162022.0954.277.284.8——1—————
MemTokCompression budget=322026.0254.2———————69.997.3—
H-PoolCompression budget=322026.0254.1———————70.497.1—
DRLBackbone=CLIP-ViT-B/16, Post-processing=QB-Norm2022.0953.380.387.6——1—————
SeqResizeCompression budget=322026.0253.3———————69.995.7—
mPLUG-2Backbone=ViT-L/142025.1253.177.684.7————————
T-MASSBackbone=CLIP-ViT-B/16, Venue=CVPR'242025.0352.777.185.6—110.5—————
NarVidBackbone=CLIP-ViT-B/162025.0352.777.785.6—112.3—————
CART2024.0652.675.484.261.8———————
VidVec-OModel Size=7B, Optimization Data=60K text-only in-context pairs2026.0252.576.383.8————————
Cap4Video++Backbone=ViT-B/162025.1252.376.885.8————————
VidVec-ZSModel Size=7B, Evaluation Protocol=Zero-shot, Reranking=K=1002026.0252.174.382.9————————
InternVideo2_{s2}-1BInput Frame Number=4, zero-shot=true2024.0351.974.681.7————————
InternVideo2_{s2}-1BInput Frame Number=8, zero-shot=true2024.0351.975.382.5————————
Cap4VideoBackbone=CLIP-ViT-B/16, Venue=CVPR'232025.0351.475.783.9—112.4—————
NarVidBackbone=CLIP-ViT-B/322025.035176.485.2—111.6—————
ProTABackbone=CLIP-ViT-B/16, Venue=ICME'242025.0350.97785.4—111.1—————
UATVRBackbone=CLIP-ViT-B/16, Venue=ICCV'232025.0350.876.385.5—112.4—————
DRLBackbone=CLIP-ViT-B/162022.0950.276.584.7——1—————
T-MASSBackbone=CLIP-ViT-B/32, Venue=CVPR'242025.0350.275.385.1—111.9—————
CLIP-ViPBackbone=CLIP-ViT-B/322022.0950.174.884.6——1—————
VAST, HowToCaption-finetunedV. Encoder=ViT-G2023.105073.281.4——1—————
TEFALBackbone=CLIP-ViT-B/16, Venue=ICCV'232025.0349.976.284.4—211.4—————
DMAEBackbone=ViT-B/162025.1249.975.885.5————————
UCOFIABackbone=ViT-16, Method Category=CLIP-based2023.0949.874.683.5—213.3—————
UCOFIAMethod Category=CLIP-based Methods2023.0949.472.1———12.9—————
UCOFIABackbone=ViT-32, Method Category=CLIP-based2023.0949.472.183.5—212.9—————
TEFALBackbone=CLIP-ViT-B/32, Venue=ICCV'232025.0349.475.983.9—2——————
DRLBackbone=ViT-B/162025.1249.476.484.2————————
Cap4 Video2024.0649.374.383.8————————
CLIP2TVBackbone=CLIP-ViT-B/162022.0949.374.783.6——2—————
VASTV. Encoder=ViT-G2023.1049.368.373.9——2—————
Cap4VideoBackbone=CLIP-ViT-B/32, Venue=CVPR'232025.0349.374.383.8—212—————
X-CLIPBackbone=CLIP-ViT-B/16, Venue=MM'222025.0349.375.884.8—212.2—————
CLIP2TVBackbone=ViT-B/162025.1249.374.783.6————————
X-CLIPBackbone=ViT-B/162025.1249.375.884.8————————
MPTBackbone=CLIP-ViT-B/16, Venue=MM'242025.0349.272.982.4——15.5—————
LamRAModel Size=7B, Evaluation Protocol=Zero-shot2026.0248.971.679.5————————
LamRAModel Size=7B, Training Scale=Large vision-text scale2026.0248.971.679.5————————
PAU2023.0948.572.782.5—214—————
VAST†V. Encoder=ViT-G2023.1048.571.279.8——2—————
PAUBackbone=CLIP-ViT-B/32, Venue=NeurIPS'232025.0348.572.782.5—214—————
CenterCLIPBackbone=CLIP-ViT-B/162022.0948.473.882——2—————
ProTABackbone=CLIP-ViT-B/32, Venue=ICME'242025.0348.175.484.3—212.5—————
TeachClipBackbone=ViT-B/162025.124875.983.5————————
TS2-NetBackbone=ViT-B/162025.1247.876.885.2————————
UATVRBackbone=CLIP-ViT-B/32, Venue=ICCV'232025.0347.573.983.5—212.3—————
DRLBackbone=CLIP-ViT-B/322022.0947.474.683.8——2—————
CAMoEBackbone=CLIP-ViT-B/32, Post-processing=DSL2022.0947.374.284.5——2—————
CLIP2VideoBackbone=CLIP-ViT-B/32, Post-processing=QB-Norm2022.0947.27383——2—————
mPLUG-2V. Encoder=ViT-L2023.1047.169.779————————
TS2-Net2022.074774.583.8—2—205.3————
TS2-NetMethod Category=CLIP-based Methods2023.094774.5———13—————
TS2-NetMethod Category=CLIP-based2023.094774.583.8—213—————
XPoolBackbone=CLIP-ViT-B/322022.0946.972.882.2——2—————
X-PoolMethod Category=CLIP-based Methods2023.0946.972.8———14.3—————
X-poolMethod Category=CLIP-based2023.0946.972.882.2—214.3—————
XPool2023.0946.972.882.2—214.3—————
X-PoolBackbone=CLIP-ViT-B/32, Venue=CVPR'222025.0346.972.882.2—214.3—————
B3Model Size=7B, Evaluation Protocol=Zero-shot2026.0246.767.675.5————————
B3Model Size=7B, Training Scale=Large vision-text scale2026.0246.767.675.5————————
UNITEModel Size=7B, Evaluation Protocol=Zero-shot2026.0246.569.478————————
UNITEModel Size=7B, Training Scale=Large vision-text scale2026.0246.569.478————————
Clip4ClipBackbone=ViT-B/162025.1246.472.182————————
ELVA-7Bzero-shot=true2026.0646.470.578.9————————
UMTVariant=B2024.0646.372.782————————
MPTBackbone=CLIP-ViT-B/32, Venue=MM'242025.0346.370.980.7——15.6—————
CLIP2TVBackbone=CLIP-ViT-B/322022.0946.172.582.9——2—————
X-CLIPMethod Category=CLIP-based Methods2023.0946.173———13.2—————
X-CLIPMethod Category=CLIP-based2023.0946.17383.1—213.2—————
CLIP2TV2023.0946.172.582.9—215.2—————
X-CLIPBackbone=CLIP-ViT-B/32, Venue=MM'222025.0346.17383.1—213.2—————
CLIP2Video2024.0645.672.581.7————————
CLIP2Video2022.0745.672.681.7—2—199.9————
CLIP2VideoBackbone=CLIP-ViT-B/322022.0945.672.681.7——2—————
CLIP2Video2023.0945.672.681.7—214.6—————
Baseline2023.0945.672.981.5—214.5—————
VindLUMethod Category=Non-CLIP Methods, Pretraining Strategy=Pretrained on large-scale video datasets, Retrieval Strategy=Two-stage re-ranking2023.0945.369.9—————————
MMRet-v1.5Model Size=7B, Evaluation Protocol=Zero-shot2026.0245.267.575.9————————
MMRet-v1.5Model Size=7B, Training Scale=Large vision-text scale2026.0245.267.575.9————————
BridgeFormerEvaluation Protocol=Fine-tuned2022.0144.971.980.3—215.3—————
LamRA-7Bzero-shot=true2026.0644.768.678.6————————
CAMOEMethod Category=CLIP-based Methods2023.0944.672.6———13.3—————
CAMOEMethod Category=CLIP-based2023.0944.672.681.8—213.3—————